Predictive risk factors of early onset left ventricular aneurysm formation in patients with acute ST-elevation myocardial infarction

From Classic to Modern Prognostic Biomarkers in Patients with Acute Myocardial Infarction

Despite all the important advances in its diagnosis and treatment, acute myocardial infarction (AMI) is still one of the most prominent causes of morbidity and mortality worldwide. Early identification of patients at high risk of poor outcomes through the measurement of various biomarker concentrations might contribute to more accurate risk stratification and help to guide more individualized therapeutic strategies, thus improving prognoses. The aim of this article is to provide an overview of the role and applications of cardiac biomarkers in risk stratification and prognostic assessment for patients with myocardial infarction. Although there is no ideal biomarker that can provide prognostic information for risk assessment in patients with AMI, the results obtained in recent years are promising. Several novel biomarkers related to the pathophysiological processes found in patients with myocardial infarction, such as inflammation, neurohormonal activation, myocardial stress, myocardial necrosis, cardiac remodeling and vasoactive processes, have been identified; they may bring additional value for AMI prognosis when included in multi-biomarker strategies. Furthermore, the use of artificial intelligence algorithms for risk stratification and prognostic assessment in these patients may have an extremely important role in improving outcomes.

Development and Evaluation of a Risk Prediction Model for Left Ventricular Aneurysm in Patients with Acute Myocardial Infarction in Northwest China

Purpose

Left ventricular aneurysm (LVA) is a severe and common mechanical comorbidity with acute myocardial infarction (AMI) that can present high mortality and serious adverse outcomes. Accordingly, there is a need for early identification and prevention of patients at risk of LVA. The aim of this study was to develop and validate a risk prediction model for LVA among AMI patients in Northwest China.

Methods

A total of 509 patients with AMI were retrospectively collected between January 2018 and August 2021. All patients were randomly divided into a training group (n=356) and a validation group (n=153). Potential risk factors for LVA were screened for predictive modelling using least absolute shrinkage and selection operator regression, multivariate logistic regression, clinical relevance, and represented by a comprehensive nomogram. Receiver operating characteristic curve, calibration curve, and decision-curve analysis (DCA) were used to assess the discrimination capacity, calibration, and clinical validity, respectively.

Results

Seven predictors were finally identified for the establishment of prediction model, including age, cardiovascular disease history, left ventricular ejection fraction, ST-segment elevation, percutaneous coronary intervention history, mean platelet volume, and aspartate aminotransferase. The prediction model achieved acceptable areas under the curves of 0.901 (95% confidence interval [CI]=0.868–0.933) and 0.908 (95% CI=0.861–0.956) in the training and validation groups, respectively, and the calibration curves fit well in our model. The DCA result indicated that this nomogram exhibited a favorable performance in terms of clinical utility.

Conclusion

An accurate prediction model for LVA development established, which can be applied to rapidly assess the risk of LVA in patients with AMI. Our findings will aid clinical decision-making to reduce the incidence of LVA in high-risk patients, and counteract adverse cardiovascular outcomes.

Novel Analysis of Coronary Angiography in Predicting the Formation of Ventricular Aneurysm in Patients With Acute Myocardial Infarction After Percutaneous Coronary Intervention

Background

Ventricular aneurysm (VA) is a serious complication of acute myocardial infarction (AMI), with a very poor prognosis. Early-stage prophylactic treatment is effective in preventing the formation of VAs. However, the existing predictive models for VA formation lack the sensitivity and specificity necessary for evaluating patients with MI. This study aimed to explore the potential use of coronary angiography and establish a more precise prediction model for VA in patients with MI.

Methods

Patients with VA (n = 52) admitted to our medical center between June 2020 and July 2021 with previous emergency percutaneous coronary intervention for AMI were retrospectively included in this database study. Controls that matched 4:1 with the VA cases during the same period were enrolled. The baseline characteristics and coronary angiograms of the enrolled individuals were obtained from the electronic medical record system. The curve length of the distance from the main criminal lesion to its ostia (DLO) and distal (DLD) in the coronary artery were measured with ImageJ. Binary logistic regression analysis was used to identify the predictive factors. The model performance was evaluated by receiver operating characteristic curve analysis.

Results

Binary analysis revealed maximum serum cardiac troponin I level (odds ratio [OR] = 1.046, 95% confidence interval [CI] = 1.027–1.066, P < 0.001), serum brain natriuretic peptide level (OR = 1.001, 95% CI = 1.000–1.002, P = 0.007), left anterior descending artery as the culprit lesion (OR = 5.091, 95% CI = 2.080–12.457, P < 0.001), and that single-vessel disease (OR = 1.809, 95% CI = 0.967–3.385, P < 0.001), stenosis in the main lesion (OR = 1.247, 95% CI = 1.173–1.327, P < 0.001), DLO (OR = 1.034, 95% CI = 1.019–1.049, P < 0.001), DLD (OR = 1.061, 95% CI = 1.043–1.079, P < 0.001), and DLD/DLD (OR = 0.033, 95% CI = 0.010–0.117, P < 0.001) were the independent variables for predicting VA formation in MI patients.

Conclusion

Our study first used quantified information of coronary lesions to establish a predictive model and proved that a longer DLD had the greatest potential in predicting the incidence of VA. Its related parameters including DLO and DLO/DLD ratio were also correlated with the incidence of VA. These findings may provide a new reference for the early identification of high-risk MI patients and preventing VA.

Sex disparities in in-hospital outcomes of left ventricular aneurysm complicating acute myocardial infarction: A United States nationwide analysis

Background

Previous studies have reported sex-specific differences in the presentation, mechanisms, and outcomes of acute myocardial infarction (AMI). We assessed differences between women and men in the incidence and in-hospital outcomes of left ventricular (LV) aneurysm complicating AMI.

Methods

Hospitalizations for AMI with LV aneurysm were identified retrospectively in the National Inpatient Sample (NIS) from 2001 to 2017. Incidence and trends in in-hospital mortality, complications, length of stay and costs were analyzed in women and men.

Results

A total of 16,334 AMI hospitalizations with concomitant LV aneurysm were identified including 6994 (42.8%) women and 9340 (57.2%) men. Among these hospitalizations, women had a higher incidence of LV aneurysm compared to men (0.16% vs. 0.14%; p < 0.001). Unadjusted in-hospital mortality was higher in women than men (12.7% vs. 7.2%; p < 0.001). After adjusting for demographic and baseline characteristics and excluding inter-hospital transfers, women with AMI complicated by LV aneurysm had 49% greater odds of in-hospital mortality than men (OR 1.49, 95% confidence interval 1.06-2.10, p = 0.02). Women with LV aneurysm were less likely than men to undergo percutaneous coronary intervention (28.5% vs. 35.4%; p < 0.001), bypass surgery (15.8% vs. 25.1%; p < 0.001), coronary atherectomy (0.8% vs. 1.9%; p = 0.009) and LV aneurysm surgery (7.8% vs. 11.1%; p = 0.001).

Conclusions

In this large population-based cohort study, women had a slightly higher incidence but dramatically higher in-hospital mortality associated with LV aneurysm complicating AMI compared to men. Further research is necessary to validate strategies to ensure that women receive guideline-directed therapy for AMI and LV aneurysm to address the sex disparity in mortality.

Incidental Discovery of a Left Ventricular Aneurysm After a Syncopal Episode

A left ventricular aneurysm is a rare post myocardial infarction complication. Ventricular aneurysms form as post-ischemic cardiac remodeling creates a weaker, fibrotic area that may bulge outwards against interventricular pressures over time. Patients with ventricular aneurysms have increased mortality and are at higher risk of various cardiac complications, such as cardiac arrest, arrhythmias, thrombus formation, reduced cardiac output, or aneurysmal rupture. Prompt diagnosis and treatment are critically important in these patients. We highlight the hospital course of a patient with an extensive cardiac history presenting for syncope with the discovery of a left ventricular aneurysm. The radiographic features of the left ventricular aneurysm are described, as well as formation, risk factors, and complications.

Predictors and long-term prognosis of left ventricular aneurysm in patients with acute anterior myocardial infarction treated with primary percutaneous coronary intervention in the contemporary era

Background

Primary percutaneous coronary intervention (PCI) has been the standard reperfusion strategy for patients with acute myocardial infarction (AMI) in the contemporary era. Meanwhile, the incidence and prognosis of left ventricular aneurysm (LVA) in AMI patients remain ambiguous. The aim of the current study is to identify the predictor and long-term prognosis of LVA in patients with acute anterior myocardial infarction.

Methods

We prospectively enrolled 942 consecutive patients with acute anterior myocardial infarction who were treated by primary PCI. The baseline characteristics, procedural features, and one-year clinical outcomes were compared between the patients with and without LVA. The primary endpoint of major adverse cardiovascular and cerebrovascular events (MACCEs) was defined as a composite of cardiac death, target vessel revascularization, and ischemic stroke. Multiple logistic regression was applied to predict LVA formation and the receiver operating characteristic (ROC) curves were plotted to evaluate the accuracy of the multivariate analysis model.

Results

The general incidence of LVA was 15.92%. At one-year clinical follow-up, patients in the LVA group had significantly higher incidence of MACCEs (15.33% vs. 6.44%, P<0.01), mainly driven by an increased incidence of cardiac death (8.00% vs. 2.78%, P<0.01), target vessel revascularization (5.33% vs. 2.27%, P=0.03), and ischemic stroke (4.00% vs. 1.39%, P=0.03). Multivariate analysis found that longer symptom-to-balloon time (S2B) [odds ratio (OR): 1.16, 95% confidence interval (CI): 1.11–1.21, P<0.01], higher initial and residual SYNTAX score (iSS, OR: 1.19, 95% CI: 1.14–1.24, P<0.01; rSS, OR: 1.33, 95% CI: 1.22–1.45, P<0.01), lower left ventricular ejection fraction (LVEF) (OR: 1.15, 95% CI: 1.11–1.18, P<0.01), and persistent ST segment elevation (OR: 1.89, 95% CI: 1.06–3.38, P=0.03) were independent predictors of LVA formation.

Conclusions

LVA is still common in patients with acute anterior myocardial infarction in the contemporary PCI era, and the prognosis of these patients was significantly worse during the one-year clinical follow-up. Strategies of prompt reperfusion and complete revascularization may be helpful in preventing LVA formation and improving clinical outcomes.